IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-1333-5_9.html
   My bibliography  Save this book chapter

Managing Firms Supply Chain Performance: The Mediating Role of Smart Technologies

In: Smart Supply Chain Management

Author

Listed:
  • Sajid Nazir

    (Lappeenranta-Lahti University of Technology (LUT))

  • Jyri Vilko

    (Lappeenranta-Lahti University of Technology (LUT))

  • Marko Torkkeli

    (Lappeenranta-Lahti University of Technology (LUT))

Abstract

Digital transformation (DT) has emerged as a critical driver of value creation under the industry 4.0 paradigm, which is distinguished by advanced technologies and data-driven processes. In doing so the primary objective of this research study is to examine the influential role of digital transformation on the supply chain performance of an organization through the utilization of smart technologies. The current research study employed a reliable and precisely well-structured questionnaire to gather information from 120 participants representing 41 local and multinational companies (MNCs) located in Pakistan. The hypothesized relationships are analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Partial Least Squares-Multi Group Analysis (PLS-MGA). The findings of this research demonstrate that the deployment of digital transformation in an organization plays a significant role in improving a firm’s supply chain performance. Furthermore, the applications of smart technologies are essential in establishing a connection between digital transformation and the supply chain performance of an organization. This research helps to promote digital supply chain by examining the function of smart technologies as a mediator between digital transformation and firms’ supply chain performance from the perspective of local and multinational companies (MNCs).

Suggested Citation

  • Sajid Nazir & Jyri Vilko & Marko Torkkeli, 2025. "Managing Firms Supply Chain Performance: The Mediating Role of Smart Technologies," Springer Books, in: Muhammad Shujaat Mubarik & Sharfuddin Ahmed Khan (ed.), Smart Supply Chain Management, chapter 0, pages 157-177, Springer.
  • Handle: RePEc:spr:sprchp:978-981-96-1333-5_9
    DOI: 10.1007/978-981-96-1333-5_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-96-1333-5_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.